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General Information
ISSN: 2301-3699 (Print); 2972-3973 (Online)
Frequency:
Bimonthly
Managing Editor:
Ms. Alice Loh
DOI:
10.18178/joig
Abstracting/Indexing:
Scopus
(Since 2021),
CNKI
, Google Scholar, Crossref, etc.
APC:
500 USD
Average Days to Accept:
98 days
Acceptance Rate:
19%
E-mail
questions to
JOIG Editorial Office
.
Journal Metrics:
4.1
2023
CiteScore
63rd percentile
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Editor-in-Chief
Dr. Branislav Vuksanovic
Deputy Head of Department, Systems Engineering Department, Military Technological College, Muscat, Oman
I am very excited to serve as the first Editor-in-Chief of the International Journal of Image and Graphics (JOIG) and hope that the publication can enrich the readers’ experience... [
Read More
]
What's New
2025-04-24
All papers published in JOIG in 2024 have been indexed by Scopus.
2025-01-01
The publication frequency of JOIG has been changed from quarterly to bimonthly, effective [2024-01-01]. We appreciate your continued support.
2024-12-25
Volume 12, No. 4 has been published now.
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Comparative Analysis of 2D and 3D Convolutional Neural Networks for Medical Ultrasound Image Classification
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An Optimized CNN Architecture for Accurate 3D Liver Segmentation in Medical Images
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Enhanced Lung Disease Detection using VGG and Spatial Transform Network (STN)
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Deep Learning Based Advertisement Replacement on Dynamic Background Videos
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Automatic Classification of Respiratory Sounds Based on Convolutional Recurrent Neural Network and Bagging k-Nearest Neighbor
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Multi-classification of High-Frequency Oscillations Using iEEG Signals and Deep Learning Models
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Def-UNet with Feature Fusion and Recalibration for Liver Segmentation in Multi-Modality CT Images
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Next-Generation Image Segmentation for Enhanced Malaria Detection and Diagnosis
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Integrating Multi-scale Feature Extraction into EfficientNet for Acute Lymphoblastic Leukemia Classification
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Digital Image Steganography and Reversible Data Hiding: Algorithms, Applications and Recommendations
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MSP2P: Multi-Scale Point-based Approach for Optimal Crowd Localization Through Perspective Analysis
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Investigating Hybrid Quantum-Assisted Classical and Deep Learning Model for MRI Brain Tumor Classification
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Graph Edge Classification for Keypoint Grouping in Multi-person Pose Estimation
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Adapted Fast Gradient Projection Algorithm for Magnetic Resonance Image Denoising
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Comparison of Augmentation Techniques with Stable Diffusion for Aircraft Identification
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Kitchen Food Waste Image Segmentation and Classification f or Compost Nutrients Estimation
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Deep Learning-Based Pose Regression for Satellites: Handling Orientation Ambiguities in LiDAR Data
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